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  ---
 
 
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  license: mit
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  tags:
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  - generated_from_trainer
 
 
 
 
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  model-index:
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  - name: gpt2.CEBaB_confounding.food_service_positive.absa.5-class.seed_43
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- results: []
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  # gpt2.CEBaB_confounding.food_service_positive.absa.5-class.seed_43
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- This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
 
 
 
 
 
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  ## Model description
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  ---
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+ language:
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+ - en
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  license: mit
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - OpenTable
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: gpt2.CEBaB_confounding.food_service_positive.absa.5-class.seed_43
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: OpenTable OPENTABLE-ABSA
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+ type: OpenTable
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+ args: opentable-absa
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.7688698490412077
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # gpt2.CEBaB_confounding.food_service_positive.absa.5-class.seed_43
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+ This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the OpenTable OPENTABLE-ABSA dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8080
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+ - Accuracy: 0.7689
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+ - Macro-f1: 0.7651
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+ - Weighted-macro-f1: 0.7692
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  ## Model description
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